BI-CARU Feature Extraction for Semantic Analysis-Reference-Cited by-同舟云学术

BI-CARU Feature Extraction for Semantic Analysis

Published:2022-08-24 Issue: Volume: Page:
ISSN:
Container-title:2022 5th International Conference on Information and Communications Technology (ICOIACT)
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Author:

Chan Ka-Hou¹,Im Sio-Kei²

Affiliation:

1. Macao Polytechnic University,Faculty of Applied Sciences,Macau,China

2. Macao Polytechnic University,Macau,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9971789/9971786/09971849.pdf?arnumber=9971849

Reference35 articles.

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2. A Novel Machine Learning Approach for Sentiment Analysis on Twitter Incorporating the Universal Language Model Fine-Tuning and SVM

3. Recursive deep models for semantic compositionality over a sentiment treebank;socher;Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing,2013

4. A Self-Weighting Module to Improve Sentiment Analysis

5. On the role of text pre-processing in neural network architectures: An evaluation study on text categorization and sentiment analysis;camacho-collados;Proceedings of the 2018 EMNLP Workshop BlackboxNLP Analyzing and Interpreting Neural Networks for NLP,0

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3. Context-Adaptive-Based Image Captioning by Bi-CARU;IEEE Access;2023